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» Training Linear Discriminant Analysis in Linear Time
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83
Voted
ICPR
2008
IEEE
15 years 4 months ago
Recognition of box-like objects by fusing cues of shape and edges
Boxes are the universal choice for packing, storage, and transportation. In this paper we propose a template-based algorithm for recognition of box-like objects, which is invarian...
Chia-Chih Chen, Jake K. Aggarwal
72
Voted
ICDAR
2007
IEEE
15 years 3 months ago
Handwritten Chinese Character Recognition Using Modified LDA and Kernel FDA
The effectiveness of kernel fisher discrimination analysis (KFDA) has been demonstrated by many pattern recognition applications. However, due to the large size of Gram matrix to ...
D. Yang, L. Jin
73
Voted
ICML
2007
IEEE
15 years 10 months ago
Two-view feature generation model for semi-supervised learning
We consider a setting for discriminative semisupervised learning where unlabeled data are used with a generative model to learn effective feature representations for discriminativ...
Rie Kubota Ando, Tong Zhang
ICPR
2006
IEEE
15 years 10 months ago
Bagging Based Efficient Kernel Fisher Discriminant Analysis for Face Recognition
Kernel Fisher Discriminant Analysis (KFDA) has achieved great success in pattern recognition recently. However, the training process of KFDA is too time consuming (even intractabl...
Baochang Zhang, Shiguang Shan, Wen Gao, Xilin Chen...
CAIP
1997
Springer
107views Image Analysis» more  CAIP 1997»
15 years 1 months ago
Computing Stochastic Completion Fields in Linear-Time Using a Resolution Pyramid
Lance R. Williams, Tairan Wang, Karvel K. Thornber